Time-Varying Analysis of CO2 Emissions, Energy Consumption, and Economic Growth Nexus: Statistical Experience in Next 11 Countries

By Muhammad Shahbaz, Mantu Kumar, Syed Hasanat Shah, João Ricardo Sato. 2016

200 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/3cf4b90a1e25fe6543c36f9ddef7cd334903cea6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Avik Sinha
2. Muhammad Shahbaz
3. Arshian Sharif
4. Mantu Kumar Mahalik
5. Syed Jawad Hussain Shahzad
6. Olimpia Neagu
7. Zhilun Jiao
8. Daniel Balsalobre

In Marketing

1. Avik Sinha
2. Arshian Sharif
3. Muhammad Shahbaz
4. Zhilun Jiao
5. Olimpia Neagu

In Renewable Energy, Sustainability and the Environment

1. Avik Sinha
2. Muhammad Shahbaz
3. Arshian Sharif
4. Syed Jawad Hussain Shahzad
5. Mantu Kumar Mahalik
6. Daniel Balsalobre
7. Zhilun Jiao
8. Olimpia Neagu

Citations in the corpus

• The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach (2018, methodology): “Shahbaz et al. (2016) applied time-varying causality and found that energy consumption and economic growth are complementary.”
• The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach (2020, methodology): “As compared to interpolation methods, the Quadratic Match Sum Method is more convenient and preferable to be adopted (Shahbaz et al. 2016, 2017, 2018).”
• Economic Complexity and Ecological Footprint: Evidence from the Most Complex Economies in the World (2020, background): “A great limitation of these studies was their focus on a singular or small group of air pollutants (mainly carbon dioxide, which is responsible for more than 76% greenhouse effect) as a proxy of environmental degradation [24].”
• Exploring the Relationship between Energy Usage Segregation and Environmental Degradation in N-11 Countries (2017, background): “A recent study that has conducted by Shahbaz et al. (2016b) to estimate the EKC for CO2 emissions in N-11 countries by considering CO2 emissions, energy consumption, and economic growth within the EKC framework.”
• The impact of economic growth on CO2 emissions in Azerbaijan (2018, background): “…studies found significantly different income elasticities for KSA (Alkhathlan and Javid, 2013: 0.45; Alshehry and Belloumi, 2016: 0.0025; Bekhet and Yasmin, 2017: 0.024; Narayan and Narayan, 2010: 0.40; Shahbaz et al., 2016: 0.26).6 As said, there is not time series study devoted to Azerbaijan.”